activity
20242026
most citedTensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing

12 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2026

HE^2: A Communication-Light Heterogeneous Architecture for Efficient Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Zhaoxuan Kan +8

CKKS, an emerging fully homomorphic encryption (FHE) scheme, has been promising in privacy-preserving applications by enabling SIMD fixed-point computations on ciphertexts. Despite…

cs.LG2026

AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning

Chongxiao Li, Pengwei Jin, Di Huang +14

Performance, power, and area (PPA) optimization is a fundamental task in RTL design, requiring a precise understanding of circuit functionality and the relationship between circuit…

cs.LG20251 cited

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs

Pengwei Jin, Di Huang, Chongxiao Li +10

The automatic generation of Verilog code using Large Language Models (LLMs) has garnered significant interest in hardware design automation. However, existing benchmarks for evalua…

cs.AR2025

FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Jianan Mu +7

Fully Homomorphic Encryption (FHE) imposes substantial memory bandwidth demands, presenting significant challenges for efficient hardware acceleration. Near-memory Processing (NMP)…

cs.CR20242 cited

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks

Xinyao Zheng, Husheng Han, Shangyi Shi +4

Large language models (LLMs) possess extensive knowledge and question-answering capabilities, having been widely deployed in privacy-sensitive domains like finance and medical cons…

cs.CR202412 cited

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing

Husheng Han, Xinyao Zheng, Yuanbo Wen +11

Heterogeneous collaborative computing with NPU and CPU has received widespread attention due to its substantial performance benefits. To ensure data confidentiality and integrity d…